Various studies have been made which determine the effect of automatic progress monitoring over traditional method of construction progress monitoring. However, for many construction companies in the developing country like Pakistan it is difficult to implement the technique which is not cost-effective or requires more resources and human resource capabilities. The traditional method of manually developing as-built data on site through visualization consists of several errors due to the subjective nature of the data as it depends on the perception and experience of the field staff who collects it. This study presents low cost and easily adaptable real-time construction activities’ productivity tracking framework for the small to medium size construction companies using Survey-Cloud-BIM integration. The framework focuses on gathering progress data through construction face survey using a typical total station, integrating the data through cloud, and thereafter processes it through Dynamo programming to generate data-driven as-built model of an under-construction project on a BIM platform. The data-driven (progressive) BIM models can then be used to calculate real-time productivity and compare it with the calibrated productivity that can help project managers to take control decisions timely and efficiently. The framework was implemented on a case study project to track the real-time productivity and progress of three bulk construction activities; concreting in columns, concreting in slab and placement of block masonry on the construction sites.